Site Reliability Engineering - Remote

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards. No prior AI experience is required-your technical expertise and infrastructure knowledge are what matter most., * Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.

• Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
• Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
• Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
• Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
• Identify technical errors, security or reliability concerns, and workflow gaps.
• Document findings and provide clear, actionable feedback.
• Recommend improvements based on real-world engineering practices and industry standards.
• Collaborate remotely with project stakeholders through written evaluations and virtual discussions.

Required Skills

• Azure DevOps
• Cloud Infrastructure
• Site Reliability Engineering (SRE)
• Platform Engineering
• AWS / Azure / GCP
• Kubernetes / Docker
• Terraform
• CI/CD
• GitHub / GitLab / JIRA
• Observability
• ChatGPT Work
• Claude Code
• Claude Cowork
• AI Agents
• Workplace Connectors

• Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
• Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
• Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
• Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
• Strong ability to evaluate technical processes and provide actionable feedback.
• Excellent written and verbal communication skills.
• Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.